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Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis

医学 孟德尔随机化 子宫内膜癌 肿瘤科 卵巢癌 肺癌 乳腺癌 内科学 全基因组关联研究 单核苷酸多态性 癌症 前列腺癌 基因型 遗传学 生物 基因 遗传变异
作者
Emmanouil Bouras,Ville Karhunen,Dipender Gill,Jian Huang,Philip C Haycock,Marc J. Gunter,Mattias Johansson,Paul Brennan,Tim J. Key,Sarah J. Lewis,Richard M. Martin,Neil Murphy,Elizabeth A. Platz,Ruth C. Travis,James Yarmolinsky,Verena Zuber,Paul Martin,Michail Katsoulis,Heinz Freisling,Therese Haugdahl Nøst,Matthias B. Schulze,Laure Dossus,Rayjean J. Hung,Christopher I. Amos,Ari Ahola‐Olli,Saranya Palaniswamy,Minna Männikkö,Juha Auvinen,Karl‐Heinz Herzig,Sirkka Keinänen‐Kiukaanniemi,Terho Lehtimäki,Veikko Salomaa,Olli T. Raitakari,Marko Salmi,Sirpa Jalkanen,NULL AUTHOR_ID,Marjo‐Riitta Järvelin,Abbas Dehghan,Konstantinos K. Tsilidis
出处
期刊:BMC Medicine [Springer Nature]
卷期号:20 (1) 被引量:46
标识
DOI:10.1186/s12916-021-02193-0
摘要

Abstract Background Epidemiological and experimental evidence has linked chronic inflammation to cancer aetiology. It is unclear whether associations for specific inflammatory biomarkers are causal or due to bias. In order to examine whether altered genetically predicted concentration of circulating cytokines are associated with cancer development, we performed a two-sample Mendelian randomisation (MR) analysis. Methods Up to 31,112 individuals of European descent were included in genome-wide association study (GWAS) meta-analyses of 47 circulating cytokines. Single nucleotide polymorphisms (SNPs) robustly associated with the cytokines, located in or close to their coding gene (c is ), were used as instrumental variables. Inverse-variance weighted MR was used as the primary analysis, and the MR assumptions were evaluated in sensitivity and colocalization analyses and a false discovery rate (FDR) correction for multiple comparisons was applied. Corresponding germline GWAS summary data for five cancer outcomes (breast, endometrial, lung, ovarian, and prostate), and their subtypes were selected from the largest cancer-specific GWASs available (cases ranging from 12,906 for endometrial to 133,384 for breast cancer). Results There was evidence of inverse associations of macrophage migration inhibitory factor with breast cancer (OR per SD = 0.88, 95% CI 0.83 to 0.94), interleukin-1 receptor antagonist with endometrial cancer (0.86, 0.80 to 0.93), interleukin-18 with lung cancer (0.87, 0.81 to 0.93), and beta-chemokine-RANTES with ovarian cancer (0.70, 0.57 to 0.85) and positive associations of monokine induced by gamma interferon with endometrial cancer (3.73, 1.86 to 7.47) and cutaneous T-cell attracting chemokine with lung cancer (1.51, 1.22 to 1.87). These associations were similar in sensitivity analyses and supported in colocalization analyses. Conclusions Our study adds to current knowledge on the role of specific inflammatory biomarker pathways in cancer aetiology. Further validation is needed to assess the potential of these cytokines as pharmacological or lifestyle targets for cancer prevention.
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